Testimonials

High quality talks from the innovators in the industry with no sales pitch. Helped me to get a much broader and deeper understanding on where AI is headed and some of the areas where it is actively applied.

- Prathima Donapudi

Sr Software Engineer @Netflix

We know we'll meet and talk with experts, and short talks are extremely useful to introduce in-depth use-case studies. I was not disappointed and will definitely come back.

- Franck Verrot

Principal Software Engineer @OmadaHealth

QCon always has world-class speakers with relevant topics. You always learn new things and always go home with lots of ideas and inspiration how to improve your business. The conference arrangement is always very professional and you feel very well taken care of when attending a QCon conference. I have attended five QCons and never been disappointed.

- Tomas Carlfalk

Chief Architect @WirelessCar

Not just fluff. I have confidence I'm seeing things that actually work in production and I can take back to my organization!

- Manas Khare

AVP, Lead Architect, Enterprise Architecture @CapitalGroup

QCon is more than merely a conference showcasing bleeding-edge technology. It links engineering problems to business problems with speakers that share real-world, working technologies and solutions in the emerging-to-early adopter quadrant.

- Jim Shedlick

Director of Architecture @LabelInsight

The lack of sales pitches. The technicality and depth of talks. I want a rigorous talk. I want experts to talk to me like an expert, and I got that.

Why QCon.ai

QCon.ai: Applied AI for software engineers rather than data scientists

Sander MakSr Software Engineer at Luminis Technologies

Machine learning is one of the trends that need your attention. We’ve all heard about deep learning and the cool stuff Google is doing with it, but I think that enterprise applications product owners will be asking for more of these features. While it’s not trivial to get into, I think machine learning is really a skill set that software engineers should acquire now.

Felipe HuiciChief Researcher, Systems & ML at NEC Laboratories

What I see as a major trend is that a lot of things (not everything, but alot of them) are going to become more and more driven by machine learning algorithms. If you care about your resume, it is going to look nice to say I have machine learning experience.

Haley Tucker Software Engineer, Netflix

What I’d like to look more into and spend more time on is the machine learning space. I keep running into problems in my current job that just feels like there is a machine learning solution to it. I think there is alot of value in spending time in that space.

Stay updated. Subscribe

Subscribe and tell your friends about QCon.ai

We require your email for the delivery of the newsletter. We gather statistics around email opening and clicks using industry standard technologies to help us monitor and improve our emails. If you are based in the EEA, please contact us so we can provide you with the protections afforded to you under EEA protection laws. For more information, please see our privacy notice.

Software is changing the world.AI is changing software

Software development is always evolving. And Software engineers continue to evolve with it.

Before DataEng became a thing, we had DBA’s and ETL folks. Software Engineers became more involved with the work and created the DataEng field. Before DevOps, we had Operations/Systems Administrators. Software Engineers became more involved with the work and created DevOps. We are seeing the same thing happen in SecOps… security folks who have operational SE skillsets.

Now, AI and machine learning are changing and shaping the future of software. Traditionally, this has been the field for PhD level data scientists. But as tooling and libraries are becoming more available and understood, that’s changing. Software engineers are moving into this field creating new roles, such as Machine Learning Engineers.

Our hypothesis is that there are large numbers of software engineers who have the talent to harness data in how they work, but don’t know the right problems to solve with AI and machine learning in engineering. When should you use a machine learning algorithm? When is a rules engine the right approach? At QCon.ai, we’ll help senior software engineers and architects uncover the real-world patterns, practices, and use cases for applying artificial intelligence/machine learning in engineering.

2019 Keynotes

In a world where big data is continuously touted as "the new oil" and U.S. companies are shutting their websites down rather than following increased European privacy rules, why should we care or worry about privacy? Is privacy dead? If not, should we work to preserve it? In this talk, we'll dive into privacy for data science and why ensuring privacy for machine learning contributes to creating more ethical and fair models. We'll dive into research related to fair-and-private machine learning algorithms and privacy-preserving models, showing that caring about privacy and working to preserve user privacy in your machine learning workflows can help ensure a better model overall and support a more ethical product design.

"Transformers"? "BERT"? "ELMo"? What do NLP researchers actually do other than give things childish names? In this talk I'll discuss the kinds of problems NLP researchers are thinking about, explain their newest and hottest breakthroughs, and give you some ideas as to how you can incorporate these concepts and models into your work.

In the evening keynote for QCon.ai, Dr. Sengupta discusses the future of transportation with an eye towards how machine learning and AI will help shape our future.Dr. Sengupta is an aerospace engineer, rocket scientist, and veteran of the space program. She worked for NASA for 16 years where her engineering projects included her PhD research on developing the ion propulsion system for the Dawn Mission (currently in the main asteroid belt), the supersonic parachute that landed the Curiosity rover on Mars, and the Cold Atom Laboratory an atomic physics facility now on board the International Space Station.After leaving NASA she led the development of the hyperloop as senior vice president of engineering systems at Virgin Hyperloop, a technology that can enable ground based travel in excess of airline speed. Her current engineering adventure is designing electrified autonomous VTOL air taxis for urban aerial transport, as Chief Product Officer and Vice President of Business Development at Airspace Experience Technologies. As an engineering savvy executive and pilot, she is now leading the mobility solutions for smart cities by eliminating congestion and reducing the carbon footprint of air travel.

2019 Venue & Hotel

Parc 55 San Francisco

Parc 55 San Francisco - A Hilton Hotel

This contemporary, high-rise hotel is 1 block from Union Square with stunning views all around and close to popular attractions, events, and shopping. The conference venue is at the same location as the hotel.